Data Analyst, Cyber Defense & Engineering - USDS

In order to enhance collaboration and cross-functional partnerships, among other things, at this time, our organization follows a hybrid work schedule that requires employees to work in the office 3 days a week, or as directed by their manager/department. We regularly review our hybrid work model, and the specific requirements may change at any time.



About the team:

You will be an integral part of the USDS Cyber Defense & Engineering team, responsible for enhancing security tools, identifying vulnerabilities, and comprehending the intricacies of our people and data within USDS. Collaborating cross-functionally with partners within and outside TikTok, our objective is to fortify our products and users' security, aiming to establish TikTok as the most trusted platform.



We are seeking a versatile, forward-thinking, and outcome-driven Data Analyst to propel our projects forward. In this capacity, you will engage with diverse technical and non-technical teams across various regions, contributing to the tracking and development of various initiatives aimed at crafting innovative solutions to complex technical challenges. If you thrive in a dynamic environment and relish the opportunity to shape the strategic trajectory of a large global organization, this role offers an exciting prospect.

The ideal candidate will possess demonstrated problem-solving abilities, sound business acumen, and a track record of collaborating with multiple teams to successfully deliver projects. They should exhibit a genuine passion for safeguarding the security and privacy of our users.



Responsibilities

- Drive clarity and solve ambiguous, challenging business problems using data-driven approaches. Propose and own data analysis (including modeling, coding, analytics, and experimentation) to drive business insight and facilitate decisions.

- Dig into complex data sets and make sense out of them.

- Measure business performance, develop core metrics and create dashboards to track and

understand them.

- Generate actionable insights from data for partners to grow and help support them to drive better and faster decision making.

- Data processing and data quality validation to ensure the best possible data insights are driving the solutions.

- Build data pipelines, optimize ETL processes, ensure data integrity, and find opportunities to add efficiency and automation to everyday tasks.

- Partner with a wide range of stakeholders both within Technology and also with cross-functional teams.